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GPU ROADMAP 2026–2028

Release timeline for next-generation data center GPUs from NVIDIA, AMD, Google, and Intel. Updated as new information becomes available.

AvailableSamplingAnnouncedRumored

2026

8 GPUs

NVIDIA B300 Ultra

NVIDIAAvailable
Q1 2026

Process

TSMC 4NP

Memory

288GB HBM3e

FP8 TFLOPS

7,000

TDP

1,400W

Key Feature

2× H100 per GPU, 10 TB/s memory bandwidth

Blackwell Ultra generation. Shipping in limited quantity to hyperscalers and cloud providers.

AMD Instinct MI350X

AMDAvailable
Q1 2026

Process

TSMC 3nm

Memory

288GB HBM3e

FP8 TFLOPS

4,600

TDP

1,000W

Key Feature

CDNA4 architecture, 8 TB/s memory bandwidth

AMD's CDNA4 generation. Competitive with B200 on VRAM; still ramps to availability.

NVIDIA B300A

NVIDIAAnnounced
Q2 2026

Process

TSMC 4NP

Memory

288GB HBM3e (unified CPU+GPU)

FP8 TFLOPS

TBD

TDP

~1,200W

Key Feature

ARM Neoverse CPU + Blackwell GPU die — full unified memory

Grace Blackwell Ultra variant. Targeting workloads that benefit from unified CPU-GPU memory addressing.

Google TPU v7 Ironwood

GOOGLEAvailable
Q2 2026

Process

Custom ASIC

Memory

192GB HBM per chip

FP8 TFLOPS

4,600

TDP

~600W

Key Feature

GA April 2026 · 4× efficiency vs Trillium · pod scales to 9,216 chips (42.5 ExaFLOPS)

Generally available on GCP since April 22, 2026. Designed as Google's first TPU for the age of inference. SparseCores improve sparse-model throughput. Best for JAX-native workloads.

AMD Instinct MI355X

AMDAvailable
Q2 2026

Process

TSMC 3nm

Memory

288GB HBM3e

FP8 TFLOPS

4,610

TDP

1,400W

Key Feature

Highest VRAM of any commercially available GPU

Premium CDNA4 variant. Maximum VRAM configuration for very large model training.

AMD Instinct MI400X

AMDAnnounced
Q3 2026

Process

TSMC 2nm

Memory

432GB HBM4 · 19.6 TB/s

FP8 TFLOPS

~20,000 (est.)

TDP

TBD

Key Feature

CDNA5 architecture · 40 PFLOPS FP4 · 12 chiplets · Helios rack with EPYC Venice CPUs

AMD confirmed MI400 series for 2026 on TSMC 2nm. 432GB HBM4 per GPU — 50% more than MI355X. Pairs with EPYC Venice CPUs and Pensando Vulcano NICs in Helios rack solution. Ships as MI455X / MI430X variants.

NVIDIA Vera Rubin (R200)

NVIDIAAnnounced
Q3 2026

Process

TSMC 3nm

Memory

288GB HBM4 per chip · 22 TB/s

FP8 TFLOPS

~12,500 (est.)

TDP

TBD

Key Feature

NVLink 6.0 (3.6 TB/s) · NVL144 rack = 3.6 ExaFLOPS FP4 · 2.8× Blackwell bandwidth

Announced at CES 2026. Dual-die chip on TSMC 3nm, 336B transistors. NVL144 rack pairs 144 Rubin GPUs with 36 Vera CPUs. Mass production targeted Q3/Q4 2026, broad cloud availability 2027.

Intel Jaguar Shores

INTELAnnounced
Q4 2026

Process

Intel 18A

Memory

HBM4 (est., SK Hynix)

FP8 TFLOPS

TBD

TDP

TBD

Key Feature

Unifies Gaudi ASIC + Xe-HPC GPU · silicon photonics interconnects · rack-scale disaggregated arch

Renamed from Falcon Shores. Design closure targeted H1 2026, volume production H2 2026. Uses Intel 18A process with silicon photonics for high-bandwidth interconnects. Succeeds Gaudi 3.

2027

3 GPUs

Google TPU v8

GOOGLERumored
Q2 2027

Process

Custom ASIC

Memory

TBD

FP8 TFLOPS

TBD

TDP

TBD

Key Feature

Liquid cooling, 2× TPU v7 performance target

Expected to maintain Google's ~2-year generation cadence. Likely announced at Google Next 2027.

NVIDIA Rubin Ultra (RU100)

NVIDIARumored
Q1 2027

Process

TSMC 3nm

Memory

TBD (HBM4e)

FP8 TFLOPS

~14,000 (est.)

TDP

TBD

Key Feature

Rubin Ultra refresh — follows Blackwell → Blackwell Ultra pattern

Based on NVIDIA's Ultra refresh cadence (H100→H200, B200→B300). Expected 2–3 quarters after base Rubin.

AMD Instinct MI450X

AMDRumored
Q2 2027

Process

TSMC 2nm (est.)

Memory

TBD (HBM4e est.)

FP8 TFLOPS

TBD

TDP

TBD

Key Feature

CDNA6 architecture target

AMD's roadmap targets annual GPU architecture updates. MI450X expected to compete with Rubin Ultra.

Disclaimer

Specs for "Announced" and "Rumored" GPUs are estimates based on official announcements, roadmap slides, and reputable industry sources. Actual specs, pricing, and availability dates may differ significantly. GPUAdvisor updates this page as new information becomes available.

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